Mate NagyMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryMTA-ELTE Lendulet Collective Behaviour Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, HungaryDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Jacob D. DavidsonDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Gabor VasarhelyiMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary, Daniel AbelMTA-ELTE Statistical and Biological Physics Research Group, Budapest, Hungary, Eniko KubinyiDepartment of Ethology, Eotvos Lorand University, Budapest, HungaryMTA-ELTE Comparative Ethology Research Group, Budapest, HungaryResearch Centre for Natural Sciences, Budapest, Hungary, Ahmed El HadyDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Tamas VicsekMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary
{"title":"长期追踪大鼠群体的社会结构","authors":"Mate NagyMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryMTA-ELTE Lendulet Collective Behaviour Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, HungaryDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Jacob D. DavidsonDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Gabor VasarhelyiMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary, Daniel AbelMTA-ELTE Statistical and Biological Physics Research Group, Budapest, Hungary, Eniko KubinyiDepartment of Ethology, Eotvos Lorand University, Budapest, HungaryMTA-ELTE Comparative Ethology Research Group, Budapest, HungaryResearch Centre for Natural Sciences, Budapest, Hungary, Ahmed El HadyDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Tamas VicsekMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary","doi":"arxiv-2408.08945","DOIUrl":null,"url":null,"abstract":"Rodents serve as an important model for examining both individual and\ncollective behavior. Dominance within rodent social structures can determine\naccess to critical resources, such as food and mating opportunities. Yet, many\naspects of the intricate interplay between individual behaviors and the\nresulting group social hierarchy, especially its evolution over time, remain\nunexplored. In this study, we utilized an automated tracking system that\ncontinuously monitored groups of male rats for over 250 days to enable an\nin-depth analysis of individual behavior and the overarching group dynamic. We\ndescribe the evolution of social structures within a group and additionally\ninvestigate how past behaviors influence the emergence of new social\nhierarchies when group composition and experimental area changes. Notably, we\nfind that conventional individual and pairwise tests exhibit a weak correlation\nwith group behavior, highlighting their limited accuracy in predicting\nbehavioral outcomes in a collective context. These results emphasize the\ncontext-dependence of social behavior as an emergent property of interactions\nwithin a group and highlight the need to measure and quantify social behavior\nin more naturalistic environments.","PeriodicalId":501266,"journal":{"name":"arXiv - QuanBio - Quantitative Methods","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-08-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Long-term tracking of social structure in groups of rats\",\"authors\":\"Mate NagyMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryMTA-ELTE Lendulet Collective Behaviour Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, HungaryDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Jacob D. DavidsonDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Gabor VasarhelyiMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary, Daniel AbelMTA-ELTE Statistical and Biological Physics Research Group, Budapest, Hungary, Eniko KubinyiDepartment of Ethology, Eotvos Lorand University, Budapest, HungaryMTA-ELTE Comparative Ethology Research Group, Budapest, HungaryResearch Centre for Natural Sciences, Budapest, Hungary, Ahmed El HadyDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USAPrinceton Neuroscience Institute, Princeton University, Princeton, NJ, USALewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA, Tamas VicsekMTA-ELTE Statistical and Biological Physics Research Group, Budapest, HungaryDepartment of Biological Physics, Eotvos Lorand University, Budapest, Hungary\",\"doi\":\"arxiv-2408.08945\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Rodents serve as an important model for examining both individual and\\ncollective behavior. Dominance within rodent social structures can determine\\naccess to critical resources, such as food and mating opportunities. Yet, many\\naspects of the intricate interplay between individual behaviors and the\\nresulting group social hierarchy, especially its evolution over time, remain\\nunexplored. In this study, we utilized an automated tracking system that\\ncontinuously monitored groups of male rats for over 250 days to enable an\\nin-depth analysis of individual behavior and the overarching group dynamic. We\\ndescribe the evolution of social structures within a group and additionally\\ninvestigate how past behaviors influence the emergence of new social\\nhierarchies when group composition and experimental area changes. Notably, we\\nfind that conventional individual and pairwise tests exhibit a weak correlation\\nwith group behavior, highlighting their limited accuracy in predicting\\nbehavioral outcomes in a collective context. These results emphasize the\\ncontext-dependence of social behavior as an emergent property of interactions\\nwithin a group and highlight the need to measure and quantify social behavior\\nin more naturalistic environments.\",\"PeriodicalId\":501266,\"journal\":{\"name\":\"arXiv - QuanBio - Quantitative Methods\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-08-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - QuanBio - Quantitative Methods\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2408.08945\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuanBio - Quantitative Methods","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.08945","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Long-term tracking of social structure in groups of rats
Rodents serve as an important model for examining both individual and
collective behavior. Dominance within rodent social structures can determine
access to critical resources, such as food and mating opportunities. Yet, many
aspects of the intricate interplay between individual behaviors and the
resulting group social hierarchy, especially its evolution over time, remain
unexplored. In this study, we utilized an automated tracking system that
continuously monitored groups of male rats for over 250 days to enable an
in-depth analysis of individual behavior and the overarching group dynamic. We
describe the evolution of social structures within a group and additionally
investigate how past behaviors influence the emergence of new social
hierarchies when group composition and experimental area changes. Notably, we
find that conventional individual and pairwise tests exhibit a weak correlation
with group behavior, highlighting their limited accuracy in predicting
behavioral outcomes in a collective context. These results emphasize the
context-dependence of social behavior as an emergent property of interactions
within a group and highlight the need to measure and quantify social behavior
in more naturalistic environments.